Data Analyst Job at MBN Recruitment Solutions, Edinburgh

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Job Description

  • About the role

    Data Analyst

    Edinburgh or Glasgow (Hybrid working 1-2 days per week in the office)

    Up to £65k + package


    We are looking for an experienced Data Analyst to join a leading bank. The successful candidate will be based out of our Edinburgh or Glasgow office, with the flexibility to work remotely 1-2 days per week.

    The role will focus on delivering best practice data analytics with the drive and capability to learn new skills and immerse themselves in the many facets of our technology and how the organisation's data is managed. As a Data Analyst, you will develop and maintain data pipelines designed to enrich existing data repositories on-premises and cloud.

    Responsibilities:

    Create, maintain, and optimize data pipelines in SAS and Python
    Automate using SAS DI Studio, LSF, Airflow, and Python
    Collaborate with other data engineers, solution architectures, and product owners on everyday challenges
    Assist our lead and principal engineers on our longer-term technology goals
    Drive feature upgrades and technical proof of concepts
    Advise on industry best practices leveraging your experience to assist in the design, discovery, and delivery phases to ultimately enhance our engineering team
    Develop and maintain data pipelines designed to enrich existing data repositories both on-premises, and cloud


    Qualifications and Experience:

    1+ years of business analysis experience using SAS or SQL
    Qualification in Computer Science or proven experience of the data lifecycle and systems
    SAS or SQL experience (SAS is the preference)
    Cloud data platforms like AWS or Azure
    Object Oriented Programming, Test-Driven Development and/or Behaviour Driven Development
    Data services like data lakes, relational databases, data warehouses, and ETL methodologies
    CI/CD experience with Jenkins, Github, or Cloudbees
    Data structuring and modelling (integration, derivation, and transformation)


    The successful candidate will have the opportunity to work with a modern Azure-based tech stack with career progression on the table. They encourage all analysts to share new ideas, challenge existing practices, and always be looking for opportunities to improve their teams and our wider engineering community.

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